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paper - autocorrelation inflatie-energiedragers

*The author of this computation has been verified*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 07 Dec 2008 04:29:09 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01.htm/, Retrieved Sun, 07 Dec 2008 11:30:14 +0000
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
19,2 26,6 26,6 31,4 31,2 26,4 20,7 20,7 15 13,3 8,7 10,2 4,3 -0,1 -4,6 -3,9 -3,5 -3,4 -2,5 -1,1 0,3 -0,9 3,6 2,7 -0,2 -1 5,8 6,4 9,6 13,2 10,6 10,9 12,9 15,9 12,2 9,1 9 17,4 14,7 17 13,7 9,5 14,8 13,6 12,6 8,9 10,2 12,7 16 10,4 9,9 9,5 8,6 10 3,5 -4,2 -4,4 -1,5 -0,1 0,8
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9064447.02130
20.7820946.05810
30.6513535.04542e-06
40.5168064.00328.7e-05
50.366242.83690.003102
60.2255871.74740.042843
70.0897250.6950.244867
8-0.027006-0.20920.417506
9-0.111455-0.86330.195698
10-0.19082-1.47810.072308
11-0.271602-2.10380.019797
12-0.372947-2.88880.002686
13-0.41499-3.21450.001052
14-0.426961-3.30720.000798
15-0.427306-3.30990.000791
16-0.433375-3.35690.000686
17-0.428104-3.31610.000777
18-0.408917-3.16750.001209
19-0.377356-2.9230.002442
20-0.340839-2.64010.005274
21-0.309147-2.39460.009888
22-0.278311-2.15580.01756
23-0.25036-1.93930.028587
24-0.199508-1.54540.063756
25-0.139172-1.0780.142669
26-0.081593-0.6320.264889
27-0.038785-0.30040.382444
280.0114050.08830.46495
290.0469950.3640.35856
300.0890510.68980.246493
310.1301341.0080.158749
320.1533271.18770.119823
330.1703241.31930.096036
340.1874941.45230.075811
350.2101791.6280.054379
360.2324921.80090.038375


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9064447.02130
2-0.221725-1.71750.045525
3-0.081236-0.62930.265786
4-0.095566-0.74030.231017
5-0.179732-1.39220.084501
6-0.025839-0.20010.42102
7-0.104353-0.80830.211052
8-0.012045-0.09330.462989
90.0571580.44270.329771
10-0.136727-1.05910.146904
11-0.120939-0.93680.176311
12-0.277731-2.15130.017745
130.2426811.87980.032497
14-0.003149-0.02440.490311
15-0.057426-0.44480.329024
16-0.113209-0.87690.192016
17-0.104031-0.80580.211763
180.011960.09260.463249
19-0.06502-0.50360.308177
20-0.042288-0.32760.372192
21-0.002729-0.02110.491604
22-0.067629-0.52390.301155
23-0.076496-0.59250.277859
24-0.061271-0.47460.318396
250.0885310.68580.247753
260.0215390.16680.434029
27-0.08211-0.6360.26359
28-0.011352-0.08790.465111
29-0.175524-1.35960.089522
300.1215380.94140.175129
310.0228810.17720.429959
32-0.088925-0.68880.246799
330.0436850.33840.368127
34-0.065756-0.50930.306191
350.0370530.2870.387545
360.0317870.24620.403176
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01/1k3751228649344.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01/1k3751228649344.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01/2glgr1228649344.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286494145ott92cp32mfx01/2glgr1228649344.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
 





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